http://www.aging.ai. The ensemble approach may facilitate integration of multi-modal data linked to chronological age and sex that may lead to simple, minimally invasive, and affordable methods of tracking integrated biomarkers of aging in humans and performing cross-species feature importance analysis." name="description"> Deep biomarkers of human aging: Application of deep neural networks to biomarker development - Figure F5 | Aging
Research Paper Volume 8, Issue 5 pp 1021—1030

Deep biomarkers of human aging: Application of deep neural networks to biomarker development

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Figure 5. Top features analysis. (A) Dependence of the epsilon-prediction accuracy from the number of features. (B) Dependence of R2 statistics from the number of features.